Analyses of social change with cross-sectional and longitudinal data 2
|Convenor||Ms Malgorzata Mikucka (Universite catholique de Louvain )|
|Coordinator 1||Mr Francesco Sarracino (STATEC, Luxembourg)|
In our earlier research based on Eurobarometer micro-data for eight European countries/regions we have found that in Flanders net time trends are more important than life cycle or generation effects.
With each of the three temporal dimensions considered (trend, birth cohort and life cycle), one can associate different economical and/or sociological explanations. In this paper we focus on the explanation of long-term life satisfaction trends across Europe.
We do so by enriching Eurobarometer micro-data (1973-2012) with macro-level time series and applying Multilevel Hierarchical Age Period Cohort analysis techniques to explain the variances associated
I use a rich household panel from South Korea including life satisfaction, domain satisfactions, and extensive income data to analyse the effects of recent growth.
Due to the rapid pace of change, important life-course changes are confounded with cohort conditions. Making use of conventional, non-parametric, and semi-parametric estimates of subjective well-being variables, I disentangle, where possible, these cross-sectional and longitudinal effects, finding a strong role for both socially-mediated and material gains. These account for what must be one of the most prominent, sustained increases in overall life satisfaction observed in any nation so far.
This paper looks at the relation between integration policies and native-born’s attitudes toward migrants in 27 countries. It approaches this research issue in a dynamic perspective and allows seeing whether changes in integration policies lead to attitudinal changes. In order to deal with the cross-country and cross-time design of the study, we use a Multiple-Group Multiple Indicator Structural Equation Modeling (MGSEM) approach on the European Social Survey (ESS) and the data from the MIPEX database for integration policies covering years 2008, 2010 and 2012.
This contribution looks at the consequences of the educational expansion on wage inequality. We decompose wage inequality by educational groups using three widely used high-quality surveys from Switzerland: the Swiss Labour Force Survey (1991-2012), the Swiss Wage Structure Survey (1994-2012) and the Swiss Household Panel (1999-2013), which differ strongly in survey design and data collection process. Although we harmonised the data as far as possible, findings regarding the evolution of wage inequality over time and the impact of education differ strongly between the three surveys. This illustrates the severe consequences of survey design and data collection
A core research interest in the field of environmental inequality is the unequal exposure to
industrial toxins by race and social class. However since the beginning of the field in the 1980's there
has been a dramatic decline in air pollution across the U.S. To date there has been no studies
investigating if these declines have mitigated racial and socioeconomic gaps in exposure to industrial
toxins. This paper addresses this gap in the literature by developing a unique longitudinal dataset of air
pollution exposure estimates linked to census data to examine exposure over time for different groups.